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SME - Extract Transform Load (ETL), Data Lakes (IN)
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingProvide L2/L3 support for Data Warehouse and Analytics applications
Monitor data pipelines, ETL jobs, batch processes and data loads
Troubleshoot and resolve production incidents within SLA timelines
Perform root cause analysis and put preventive measures in place
Validate data integrity, quality and reconciliation processes
From the employer’s posting
Provide L2/L3 support for Data Warehouse and Analytics applications.
Monitor data pipelines, ETL jobs, batch processes, and data loads.
Troubleshoot and resolve production incidents within SLA timelines.
Perform root cause analysis (RCA) and implement preventive measures.
Validate data integrity, quality, and reconciliation processes.
What you’ll bring
All qualificationsCore experience
- 4-8 years of experience
- Strong experience in Application Support and Production Support
- Strong expertise in SSIS (SQL Server Integration Services)
- Hands-on experience with AWS services (EC2, S3, RDS, CloudWatch)
- Experience with IBM Netezza Data Warehouse
Qualification wording
Experience: 4-8 Years
Strong experience in Application Support and Production Support.
Strong expertise in SSIS (SQL Server Integration Services).
Hands-on experience with AWS services (EC2, S3, RDS, CloudWatch).
Experience with IBM Netezza Data Warehouse.
Tools in this posting
- Python
- SQL
- AWS
- Hadoop
- Hive
- S3
- Spark
- SQL Server
Source — Tool mentions in context
Job Summary Job Description (JD) – Application Support Engineer (Data & Analytics / Data Warehouse)\\\\r\\\\nPosition: Application Support Engineer – Data & Analytics (Data Warehouse)\\\\r\\\\nExperience: 4-8 Years\\\\r\\\\nLocation: As per business requirement\\\\r\\\\nJob Summary\\\\r\\\\nWe are seeking an experienced Application Support Engineer to support and maintain enterprise Data Warehouse and Analytics platforms. The role involves monitoring, troubleshooting, resolving production incidents, ensuring data availability, and supporting ETL and reporting processes across AWS, Hadoop, Netezza, and SSIS environments.\\\\r\\\\nKey Responsibilities\\\\r\\\\nProvide L2/L3 support for Data Warehouse and Analytics applications.\\\\r\\\\nMonitor data pipelines, ETL jobs, batch processes, and data loads.\\\\r\\\\nTroubleshoot and resolve production incidents within SLA timelines.\\\\r\\\\nPerform root cause analysis (RCA) and implement preventive measures.\\\\r\\\\nSupport AWS, Hadoop, Netezza, and SSIS-based data platforms.\\\\r\\\\nValidate data integrity, quality, and reconciliation processes.\\\\r\\\\nManage job scheduling, performance tuning, and capacity monitoring.\\\\r\\\\nCoordinate with development, infrastructure, and business teams for issue resolution.\\\\r\\\\nSupport release deployments, change management, and maintenance activities.\\\\r\\\\nPrepare operational documentation, runbooks, and incident reports.\\\\r\\\\nRequired Skills\\\\r\\\\nStrong experience in Application Support and Production Support.\\\\r\\\\nHands-on experience with AWS services (EC2, S3, RDS, CloudWatch).\\\\r\\\\nGood knowledge of Hadoop Ecosystem (HDFS, Hive, Spark).\\\\r\\\\nExperience with IBM Netezza Data Warehouse.\\\\r\\\\nStrong expertise in SSIS (SQL Server Integration Services).\\\\r\\\\nKnowledge of SQL, ETL processes, and Data Warehousing concepts.\\\\r\\\\nExperience with monitoring, incident management, and troubleshooting.\\\\r\\\\nUnderstanding of batch scheduling tools and support processes.\\\\r\\\\nPreferred Skills\\\\r\\\\nExperience with Data Analytics and Reporting platforms.\\\\r\\\\nKnowledge of Shell/Python scripting.\\\\r\\\\nExposure to DevOps and automation tools.\\\\r\\\\nITIL Incident, Problem, and Change Management knowledge. Key Responsibilities
Key Responsibilities Job Description (JD) – Application Support Engineer (Data & Analytics / Data Warehouse)\\\\r\\\\nPosition: Application Support Engineer – Data & Analytics (Data Warehouse)\\\\r\\\\nExperience: 4-8 Years\\\\r\\\\nLocation: As per business requirement\\\\r\\\\nJob Summary\\\\r\\\\nWe are seeking an experienced Application Support Engineer to support and maintain enterprise Data Warehouse and Analytics platforms. The role involves monitoring, troubleshooting, resolving production incidents, ensuring data availability, and supporting ETL and reporting processes across AWS, Hadoop, Netezza, and SSIS environments.\\\\r\\\\nKey Responsibilities\\\\r\\\\nProvide L2/L3 support for Data Warehouse and Analytics applications.\\\\r\\\\nMonitor data pipelines, ETL jobs, batch processes, and data loads.\\\\r\\\\nTroubleshoot and resolve production incidents within SLA timelines.\\\\r\\\\nPerform root cause analysis (RCA) and implement preventive measures.\\\\r\\\\nSupport AWS, Hadoop, Netezza, and SSIS-based data platforms.\\\\r\\\\nValidate data integrity, quality, and reconciliation processes.\\\\r\\\\nManage job scheduling, performance tuning, and capacity monitoring.\\\\r\\\\nCoordinate with development, infrastructure, and business teams for issue resolution.\\\\r\\\\nSupport release deployments, change management, and maintenance activities.\\\\r\\\\nPrepare operational documentation, runbooks, and incident reports.\\\\r\\\\nRequired Skills\\\\r\\\\nStrong experience in Application Support and Production Support.\\\\r\\\\nHands-on experience with AWS services (EC2, S3, RDS, CloudWatch).\\\\r\\\\nGood knowledge of Hadoop Ecosystem (HDFS, Hive, Spark).\\\\r\\\\nExperience with IBM Netezza Data Warehouse.\\\\r\\\\nStrong expertise in SSIS (SQL Server Integration Services).\\\\r\\\\nKnowledge of SQL, ETL processes, and Data Warehousing concepts.\\\\r\\\\nExperience with monitoring, incident management, and troubleshooting.\\\\r\\\\nUnderstanding of batch scheduling tools and support processes.\\\\r\\\\nPreferred Skills\\\\r\\\\nExperience with Data Analytics and Reporting platforms.\\\\r\\\\nKnowledge of Shell/Python scripting.\\\\r\\\\nExposure to DevOps and automation tools.\\\\r\\\\nITIL Incident, Problem, and Change Management knowledge. Skill Requirements
Skill Requirements Job Description (JD) – Application Support Engineer (Data & Analytics / Data Warehouse)\\\\r\\\\nPosition: Application Support Engineer – Data & Analytics (Data Warehouse)\\\\r\\\\nExperience: 4-8 Years\\\\r\\\\nLocation: As per business requirement\\\\r\\\\nJob Summary\\\\r\\\\nWe are seeking an experienced Application Support Engineer to support and maintain enterprise Data Warehouse and Analytics platforms. The role involves monitoring, troubleshooting, resolving production incidents, ensuring data availability, and supporting ETL and reporting processes across AWS, Hadoop, Netezza, and SSIS environments.\\\\r\\\\nKey Responsibilities\\\\r\\\\nProvide L2/L3 support for Data Warehouse and Analytics applications.\\\\r\\\\nMonitor data pipelines, ETL jobs, batch processes, and data loads.\\\\r\\\\nTroubleshoot and resolve production incidents within SLA timelines.\\\\r\\\\nPerform root cause analysis (RCA) and implement preventive measures.\\\\r\\\\nSupport AWS, Hadoop, Netezza, and SSIS-based data platforms.\\\\r\\\\nValidate data integrity, quality, and reconciliation processes.\\\\r\\\\nManage job scheduling, performance tuning, and capacity monitoring.\\\\r\\\\nCoordinate with development, infrastructure, and business teams for issue resolution.\\\\r\\\\nSupport release deployments, change management, and maintenance activities.\\\\r\\\\nPrepare operational documentation, runbooks, and incident reports.\\\\r\\\\nRequired Skills\\\\r\\\\nStrong experience in Application Support and Production Support.\\\\r\\\\nHands-on experience with AWS services (EC2, S3, RDS, CloudWatch).\\\\r\\\\nGood knowledge of Hadoop Ecosystem (HDFS, Hive, Spark).\\\\r\\\\nExperience with IBM Netezza Data Warehouse.\\\\r\\\\nStrong expertise in SSIS (SQL Server Integration Services).\\\\r\\\\nKnowledge of SQL, ETL processes, and Data Warehousing concepts.\\\\r\\\\nExperience with monitoring, incident management, and troubleshooting.\\\\r\\\\nUnderstanding of batch scheduling tools and support processes.\\\\r\\\\nPreferred Skills\\\\r\\\\nExperience with Data Analytics and Reporting platforms.\\\\r\\\\nKnowledge of Shell/Python scripting.\\\\r\\\\nExposure to DevOps and automation tools.\\\\r\\\\nITIL Incident, Problem, and Change Management knowledge. Other Requirements
Other Requirements Job Description (JD) – Application Support Engineer (Data & Analytics / Data Warehouse)\\\\r\\\\nPosition: Application Support Engineer – Data & Analytics (Data Warehouse)\\\\r\\\\nExperience: 4-8 Years\\\\r\\\\nLocation: As per business requirement\\\\r\\\\nJob Summary\\\\r\\\\nWe are seeking an experienced Application Support Engineer to support and maintain enterprise Data Warehouse and Analytics platforms. The role involves monitoring, troubleshooting, resolving production incidents, ensuring data availability, and supporting ETL and reporting processes across AWS, Hadoop, Netezza, and SSIS environments.\\\\r\\\\nKey Responsibilities\\\\r\\\\nProvide L2/L3 support for Data Warehouse and Analytics applications.\\\\r\\\\nMonitor data pipelines, ETL jobs, batch processes, and data loads.\\\\r\\\\nTroubleshoot and resolve production incidents within SLA timelines.\\\\r\\\\nPerform root cause analysis (RCA) and implement preventive measures.\\\\r\\\\nSupport AWS, Hadoop, Netezza, and SSIS-based data platforms.\\\\r\\\\nValidate data integrity, quality, and reconciliation processes.\\\\r\\\\nManage job scheduling, performance tuning, and capacity monitoring.\\\\r\\\\nCoordinate with development, infrastructure, and business teams for issue resolution.\\\\r\\\\nSupport release deployments, change management, and maintenance activities.\\\\r\\\\nPrepare operational documentation, runbooks, and incident reports.\\\\r\\\\nRequired Skills\\\\r\\\\nStrong experience in Application Support and Production Support.\\\\r\\\\nHands-on experience with AWS services (EC2, S3, RDS, CloudWatch).\\\\r\\\\nGood knowledge of Hadoop Ecosystem (HDFS, Hive, Spark).\\\\r\\\\nExperience with IBM Netezza Data Warehouse.\\\\r\\\\nStrong expertise in SSIS (SQL Server Integration Services).\\\\r\\\\nKnowledge of SQL, ETL processes, and Data Warehousing concepts.\\\\r\\\\nExperience with monitoring, incident management, and troubleshooting.\\\\r\\\\nUnderstanding of batch scheduling tools and support processes.\\\\r\\\\nPreferred Skills\\\\r\\\\nExperience with Data Analytics and Reporting platforms.\\\\r\\\\nKnowledge of Shell/Python scripting.\\\\r\\\\nExposure to DevOps and automation tools.\\\\r\\\\nITIL Incident, Problem, and Change Management knowledge.
Posting record
Report an errorActively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 12, 20261 day ago
- Recorded sightings
- 2
- Last seen by us
- Nov 13, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
HCL Technologies is hiring
357 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- 1% of open jobs were reposted
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About HCL Technologies
- People
- About 20,206 in 2024.Benefit plan filings (Form 5500)
- Company
- Listed as HCLTECH.NS.
- H-1B visas
- 754 approved for new hires in fiscal 2025.US Citizenship and Immigration Services
- Layoff notices
- Notices this year and last cover 120 people. The latest was filed March 27, 2026.State WARN notices
Demand for Data Engineer roles
New Data Engineer postings at the employers we follow are up 7% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Job description
Job Summary
Job Description (JD) – Application Support Engineer (Data & Analytics / Data Warehouse)\\\\r\\\\nPosition: Application Support Engineer – Data & Analytics (Data Warehouse)\\\\r\\\\nExperience: 4-8 Years\\\\r\\\\nLocation: As per business requirement\\\\r\\\\nJob Summary\\\\r\\\\nWe are seeking an experienced Application Support Engineer to support and maintain enterprise Data Warehouse and Analytics platforms. The role involves monitoring, troubleshooting, resolving production incidents, ensuring data availability, and supporting ETL and reporting processes across AWS, Hadoop, Netezza, and SSIS environments.\\\\r\\\\nKey Responsibilities\\\\r\\\\nProvide L2/L3 support for Data Warehouse and Analytics applications.\\\\r\\\\nMonitor data pipelines, ETL jobs, batch processes, and data loads.\\\\r\\\\nTroubleshoot and resolve production incidents within SLA timelines.\\\\r\\\\nPerform root cause analysis (RCA) and implement preventive measures.\\\\r\\\\nSupport AWS, Hadoop, Netezza, and SSIS-based data platforms.\\\\r\\\\nValidate data integrity, quality, and reconciliation processes.\\\\r\\\\nManage job scheduling, performance tuning, and capacity monitoring.\\\\r\\\\nCoordinate with development, infrastructure, and business teams for issue resolution.\\\\r\\\\nSupport release deployments, change management, and maintenance activities.\\\\r\\\\nPrepare operational documentation, runbooks, and incident reports.\\\\r\\\\nRequired Skills\\\\r\\\\nStrong experience in Application Support and Production Support.\\\\r\\\\nHands-on experience with AWS services (EC2, S3, RDS, CloudWatch).\\\\r\\\\nGood knowledge of Hadoop Ecosystem (HDFS, Hive, Spark).\\\\r\\\\nExperience with IBM Netezza Data Warehouse.\\\\r\\\\nStrong expertise in SSIS (SQL Server Integration Services).\\\\r\\\\nKnowledge of SQL, ETL processes, and Data Warehousing concepts.\\\\r\\\\nExperience with monitoring, incident management, and troubleshooting.\\\\r\\\\nUnderstanding of batch scheduling tools and support processes.\\\\r\\\\nPreferred Skills\\\\r\\\\nExperience with Data Analytics and Reporting platforms.\\\\r\\\\nKnowledge of Shell/Python scripting.\\\\r\\\\nExposure to DevOps and automation tools.\\\\r\\\\nITIL Incident, Problem, and Change Management knowledge.
Key Responsibilities
Job Description (JD) – Application Support Engineer (Data & Analytics / Data Warehouse)\\\\r\\\\nPosition: Application Support Engineer – Data & Analytics (Data Warehouse)\\\\r\\\\nExperience: 4-8 Years\\\\r\\\\nLocation: As per business requirement\\\\r\\\\nJob Summary\\\\r\\\\nWe are seeking an experienced Application Support Engineer to support and maintain enterprise Data Warehouse and Analytics platforms. The role involves monitoring, troubleshooting, resolving production incidents, ensuring data availability, and supporting ETL and reporting processes across AWS, Hadoop, Netezza, and SSIS environments.\\\\r\\\\nKey Responsibilities\\\\r\\\\nProvide L2/L3 support for Data Warehouse and Analytics applications.\\\\r\\\\nMonitor data pipelines, ETL jobs, batch processes, and data loads.\\\\r\\\\nTroubleshoot and resolve production incidents within SLA timelines.\\\\r\\\\nPerform root cause analysis (RCA) and implement preventive measures.\\\\r\\\\nSupport AWS, Hadoop, Netezza, and SSIS-based data platforms.\\\\r\\\\nValidate data integrity, quality, and reconciliation processes.\\\\r\\\\nManage job scheduling, performance tuning, and capacity monitoring.\\\\r\\\\nCoordinate with development, infrastructure, and business teams for issue resolution.\\\\r\\\\nSupport release deployments, change management, and maintenance activities.\\\\r\\\\nPrepare operational documentation, runbooks, and incident reports.\\\\r\\\\nRequired Skills\\\\r\\\\nStrong experience in Application Support and Production Support.\\\\r\\\\nHands-on experience with AWS services (EC2, S3, RDS, CloudWatch).\\\\r\\\\nGood knowledge of Hadoop Ecosystem (HDFS, Hive, Spark).\\\\r\\\\nExperience with IBM Netezza Data Warehouse.\\\\r\\\\nStrong expertise in SSIS (SQL Server Integration Services).\\\\r\\\\nKnowledge of SQL, ETL processes, and Data Warehousing concepts.\\\\r\\\\nExperience with monitoring, incident management, and troubleshooting.\\\\r\\\\nUnderstanding of batch scheduling tools and support processes.\\\\r\\\\nPreferred Skills\\\\r\\\\nExperience with Data Analytics and Reporting platforms.\\\\r\\\\nKnowledge of Shell/Python scripting.\\\\r\\\\nExposure to DevOps and automation tools.\\\\r\\\\nITIL Incident, Problem, and Change Management knowledge.
Skill Requirements
Job Description (JD) – Application Support Engineer (Data & Analytics / Data Warehouse)\\\\r\\\\nPosition: Application Support Engineer – Data & Analytics (Data Warehouse)\\\\r\\\\nExperience: 4-8 Years\\\\r\\\\nLocation: As per business requirement\\\\r\\\\nJob Summary\\\\r\\\\nWe are seeking an experienced Application Support Engineer to support and maintain enterprise Data Warehouse and Analytics platforms. The role involves monitoring, troubleshooting, resolving production incidents, ensuring data availability, and supporting ETL and reporting processes across AWS, Hadoop, Netezza, and SSIS environments.\\\\r\\\\nKey Responsibilities\\\\r\\\\nProvide L2/L3 support for Data Warehouse and Analytics applications.\\\\r\\\\nMonitor data pipelines, ETL jobs, batch processes, and data loads.\\\\r\\\\nTroubleshoot and resolve production incidents within SLA timelines.\\\\r\\\\nPerform root cause analysis (RCA) and implement preventive measures.\\\\r\\\\nSupport AWS, Hadoop, Netezza, and SSIS-based data platforms.\\\\r\\\\nValidate data integrity, quality, and reconciliation processes.\\\\r\\\\nManage job scheduling, performance tuning, and capacity monitoring.\\\\r\\\\nCoordinate with development, infrastructure, and business teams for issue resolution.\\\\r\\\\nSupport release deployments, change management, and maintenance activities.\\\\r\\\\nPrepare operational documentation, runbooks, and incident reports.\\\\r\\\\nRequired Skills\\\\r\\\\nStrong experience in Application Support and Production Support.\\\\r\\\\nHands-on experience with AWS services (EC2, S3, RDS, CloudWatch).\\\\r\\\\nGood knowledge of Hadoop Ecosystem (HDFS, Hive, Spark).\\\\r\\\\nExperience with IBM Netezza Data Warehouse.\\\\r\\\\nStrong expertise in SSIS (SQL Server Integration Services).\\\\r\\\\nKnowledge of SQL, ETL processes, and Data Warehousing concepts.\\\\r\\\\nExperience with monitoring, incident management, and troubleshooting.\\\\r\\\\nUnderstanding of batch scheduling tools and support processes.\\\\r\\\\nPreferred Skills\\\\r\\\\nExperience with Data Analytics and Reporting platforms.\\\\r\\\\nKnowledge of Shell/Python scripting.\\\\r\\\\nExposure to DevOps and automation tools.\\\\r\\\\nITIL Incident, Problem, and Change Management knowledge.
Other Requirements
Job Description (JD) – Application Support Engineer (Data & Analytics / Data Warehouse)\\\\r\\\\nPosition: Application Support Engineer – Data & Analytics (Data Warehouse)\\\\r\\\\nExperience: 4-8 Years\\\\r\\\\nLocation: As per business requirement\\\\r\\\\nJob Summary\\\\r\\\\nWe are seeking an experienced Application Support Engineer to support and maintain enterprise Data Warehouse and Analytics platforms. The role involves monitoring, troubleshooting, resolving production incidents, ensuring data availability, and supporting ETL and reporting processes across AWS, Hadoop, Netezza, and SSIS environments.\\\\r\\\\nKey Responsibilities\\\\r\\\\nProvide L2/L3 support for Data Warehouse and Analytics applications.\\\\r\\\\nMonitor data pipelines, ETL jobs, batch processes, and data loads.\\\\r\\\\nTroubleshoot and resolve production incidents within SLA timelines.\\\\r\\\\nPerform root cause analysis (RCA) and implement preventive measures.\\\\r\\\\nSupport AWS, Hadoop, Netezza, and SSIS-based data platforms.\\\\r\\\\nValidate data integrity, quality, and reconciliation processes.\\\\r\\\\nManage job scheduling, performance tuning, and capacity monitoring.\\\\r\\\\nCoordinate with development, infrastructure, and business teams for issue resolution.\\\\r\\\\nSupport release deployments, change management, and maintenance activities.\\\\r\\\\nPrepare operational documentation, runbooks, and incident reports.\\\\r\\\\nRequired Skills\\\\r\\\\nStrong experience in Application Support and Production Support.\\\\r\\\\nHands-on experience with AWS services (EC2, S3, RDS, CloudWatch).\\\\r\\\\nGood knowledge of Hadoop Ecosystem (HDFS, Hive, Spark).\\\\r\\\\nExperience with IBM Netezza Data Warehouse.\\\\r\\\\nStrong expertise in SSIS (SQL Server Integration Services).\\\\r\\\\nKnowledge of SQL, ETL processes, and Data Warehousing concepts.\\\\r\\\\nExperience with monitoring, incident management, and troubleshooting.\\\\r\\\\nUnderstanding of batch scheduling tools and support processes.\\\\r\\\\nPreferred Skills\\\\r\\\\nExperience with Data Analytics and Reporting platforms.\\\\r\\\\nKnowledge of Shell/Python scripting.\\\\r\\\\nExposure to DevOps and automation tools.\\\\r\\\\nITIL Incident, Problem, and Change Management knowledge.
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India
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